AI-Driven Real-Time Decision Making in Healthcare

AI-powered systems leverage machine learning, predictive analytics, and generative AI to analyze vast patient data streams, reducing diagnostic delays, optimizing treatment strategies, and improving resource allocation. This presentation will explore AI’s transformative impact on emergency care, predictive diagnostics, and workflow automation while addressing key challenges such as data privacy, ethical concerns, and model interpretability. By examining real-world applications and case studies, we will uncover how AI, coupled with cloud computing and edge analytics, enhances decision accuracy, mitigates cognitive overload for healthcare professionals, and fosters a more efficient, patient-centric healthcare ecosystem.

Fardin Quazi is a Senior Member of IEEE and a distinguished expert in digital healthcare transformation, with over 19 years of experience in healthcare IT, automation, AI, and business transformation. He is an Associate Director at Cognizant, where he leads strategic healthcare IT initiatives, modernizes legacy systems, and implements BPaaS, AI, and automation to enhance operational efficiency and patient outcomes.